At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Working with Verification Management product group to investigate and build ML capabilities to support classification of digital design and testbench code changes to determine the likelihood bugs have been introduced. Modern Verification Automation supports multi-engineer projects building complex testbenches and tests which are run within huge design verification regressions. ML can be a powerful tool to make sense of the huge amount of data and catching bugs at code check-in is the best time to do it.
Working under the guidance of RnD leads the Intern will understand, build a proof of concept and explore results on the target project.
Seeking MSc or PhD level student in Mathematics, Computer Science or Electronic Engineering degree program having good foundations for working with ML models and tool-chains.
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